David Eddington
- Biomedical Engineering top 1%
- Molecular Biology
- Surgery top 10%
- Experimental and Cognitive Psychology top 5%
- Language and Linguistics top 1%
- Co-authors
- David J. BeebeJohn PuccinelliJa Hye MyungSeungpyo HongMegan L. Rexius‐HallJoan BybeeYong WangJosé Oberholzer
- Topics
- Microfluidic and Capillary Electrophoresis Applications (42 papers)3D Printing in Biomedical Research (36 papers)Phonetics and Phonology Research (34 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- United StatesRussiaCanada
In The Last Decade
David Eddington
128 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 155
- Biomedical Engineering 1.9k
- Molecular Biology 467
- Surgery 405
- Experimental and Cognitive Psychology 365
- Language and Linguistics 341
Countries citing papers authored by David Eddington
This map shows the geographic impact of David Eddington's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Eddington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eddington more than expected).
Fields of papers citing papers by David Eddington
This network shows the impact of papers produced by David Eddington. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Eddington. The network helps show where David Eddington may publish in the future.
Co-authorship network of co-authors of David Eddington
This figure shows the co-authorship network connecting the top 25 collaborators of David Eddington. A scholar is included among the top collaborators of David Eddington based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Eddington. David Eddington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 1 | |
| 3 | 56 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 40 | |
| 7 | 51 | |
| 8 | 10 | |
| 9 | 34 | |
| 10 | 46 | |
| 11 | 24 | |
| 12 | Quantitative and experimental linguistics | 7 |
| 13 | 7 | |
| 14 | Linguistics and the Scientific Method | 4 |
| 15 | LOCALIZED BRAIN SLICE CHEMICAL STIMU- LATION USING A MICROFLUIDIC DEVICE AND OFF-THE-SHELF PERFUSION CHAMBER | 1 |
| 16 | 146 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | A usage-based simulation of Spanish S-weakening: 221 | 1 |
| 20 | 10 |
About David Eddington
David Eddington is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology and Language and Linguistics, having authored 137 papers that have together received 3.5k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (42 papers), 3D Printing in Biomedical Research (36 papers) and Phonetics and Phonology Research (34 papers). The work is most often cited by research in Linguistics and Language (271 citations), Biomedical Engineering (1.9k citations) and Molecular Medicine (184 citations). David Eddington has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include David J. Beebe, John Puccinelli, Ja Hye Myung, Seungpyo Hong, Megan L. Rexius‐Hall, Joan Bybee, Yong Wang, José Oberholzer, Joe F. Lo and Tricia A. Harvat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.